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Dynamic Buffer Areas Obtained by EFCM Method in GIS Environment

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Book cover Visual Information Systems. Web-Based Visual Information Search and Management (VISUAL 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5188))

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Abstract

Impact areas in spatial analysis are determined by using density clustering methods which have an elevated computational complexity. We propose an alternative method based on the Extended Fuzzy C-Means (EFCM) and we derive dynamic buffer areas as hypersphere volume prototypes in a GIS environment.

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References

  1. Di Martino, F., Loia, V., Sessa, S.: Extended Fuzzy C-Means Clustering Algorithm for Hot Spot Events in Spatial Analysis. Internat. Jour. of Hybrid Intelligent System 4, 1–14 (2007)

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Monica Sebillo Giuliana Vitiello Gerald Schaefer

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© 2008 Springer-Verlag Berlin Heidelberg

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Di Martino, F., Sessa, S. (2008). Dynamic Buffer Areas Obtained by EFCM Method in GIS Environment. In: Sebillo, M., Vitiello, G., Schaefer, G. (eds) Visual Information Systems. Web-Based Visual Information Search and Management. VISUAL 2008. Lecture Notes in Computer Science, vol 5188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85891-1_11

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  • DOI: https://doi.org/10.1007/978-3-540-85891-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85890-4

  • Online ISBN: 978-3-540-85891-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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